首页> 外文期刊>Medicine. >The predictive role of the posterior tibial tendon cross-sectional area in early diagnosing posterior tibial tendon dysfunction
【24h】

The predictive role of the posterior tibial tendon cross-sectional area in early diagnosing posterior tibial tendon dysfunction

机译:后胫骨腱横截面积在早期诊断后胫骨肌腱功能障碍的预测作用

获取原文
           

摘要

A hypertrophied posterior tibial tendon (PTT) has been considered to be an important morphologic parameter of PTT dysfunction (PTTD). Previous research has demonstrated that the PTT thickness (PTTT) is correlated with early signs of PTTD. However, the thickness is different from hypertrophy. Thus, we devised the PTT cross-sectional area (PTTCSA) as a new predictive parameter for diagnosing the PTTD. The PTT data were acquired from 14 patients with PTTD and from 20 normal individuals who underwent ankle magnetic resonance imaging. We measured the PTTT and PTTCSA at the PTT on the ankle magnetic resonance imaging. The mean PTTT was 2.43 ± 0.39 mm in the normal group and 3.40 ± 0.42 mm in the PTTD group. The average PTTCSA was 16.10 ± 4.27 mm 2 in the normal group and 26.93 ± 4.38 mm 2 in the PTTD group. The receiver operator characteristic analysis curve demonstrated that the highest predictive value of the PTTT was 3.07 mm, with 85.7% sensitivity, 85.0% specificity. The highest predictive value of the PTTCSA was 22.54 mm 2 , with 92.9% sensitivity, 90.0% specificity. Our findings suggest that the PTTCSA was a more valid predictor of PTTD, even though the PTTT and PTTCSA were both significantly associated with PTTD.
机译:肥大后胫骨肌腱(PTT)被认为是PTT功能障碍(PTTD)的重要形态学参数。以前的研究表明,PTT厚度(PTTT)与PTTD的早期迹象相关。然而,厚度不同于肥大。因此,我们设计了PTT横截面积(PTTCSA)作为用于诊断PTTD的新预测参数。 PTT数据是从14名PTTD患者获得的,并且从踝关节磁共振成像进行20名正常个体。我们在踝磁共振成像上的PTT处测量了PTTT和PTTCSA。在正常组中平均pTTT为2.43±0.39 mm,PTTD组中的3.40±0.42毫米。平均PTTCSA在正常组中为16.10±4.27 mm 2,PTTD组中为26.93±4.38 mm 2。接收器操作员特征分析曲线证明,PTTT的最高预测值为3.07毫米,灵敏度为85.7%,特异性为85.0%。 PTTCSA的最高预测值为22.54 mm 2,灵敏度为92.9%,特异性为90.0%。我们的研究结果表明,PTTCSA是PTTD的更有效的预测因子,即使PTTT和PTTCSA都与PTTD显着相关。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号